Sayyam Zahra

NFC Institute of Engineering and Technology

Papers

Total Citations

H-Index

About

Sayyam Zahra is an emerging researcher in the field of computer vision and biometric security, with a focused interest in face spoofing detection. Her most cited work, "A Novel Face Spoofing Detection Using Handcrafted MobileNet" (2023), addresses a critical vulnerability in facial recognition systems used across human-robot interaction, commercial services, hospitality, and even political applications. By integrating handcrafted features with the lightweight MobileNet architecture, Zahra proposed a solution that balances computational efficiency with robust detection accuracy—an essential contribution as spoofing attacks grow more sophisticated. Although her citation count is currently modest at 3, her work fills a notable gap in the literature, where many supervised and unsupervised methods have been applied without thorough comparative analysis. This research signals her potential to influence real-world security systems, particularly in resource-constrained environments. As she continues to build her publication record, Zahra’s dedication to tackling practical, high-stakes problems in biometric authentication marks her as a promising voice in the ongoing fight against digital impersonation.